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native/nvdsinfer_custom_impl_Yolo/yolo.h

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+/*
+ * Copyright (c) 2019-2020, NVIDIA CORPORATION. All rights reserved.
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a
+ * copy of this software and associated documentation files (the "Software"),
+ * to deal in the Software without restriction, including without limitation
+ * the rights to use, copy, modify, merge, publish, distribute, sublicense,
+ * and/or sell copies of the Software, and to permit persons to whom the
+ * Software is furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in
+ * all copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL
+ * THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+ * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
+ * DEALINGS IN THE SOFTWARE.
+
+ * Edited by Marcos Luciano
+ * https://www.github.com/marcoslucianops
+ */
+
+#ifndef _YOLO_H_
+#define _YOLO_H_
+
+#include "layers/convolutional_layer.h"
+#include "layers/dropout_layer.h"
+#include "layers/shortcut_layer.h"
+#include "layers/route_layer.h"
+#include "layers/upsample_layer.h"
+#include "layers/maxpool_layer.h"
+
+#include "nvdsinfer_custom_impl.h"
+
+struct NetworkInfo
+{
+    std::string networkType;
+    std::string configFilePath;
+    std::string wtsFilePath;
+    std::string deviceType;
+    std::string inputBlobName;
+};
+
+struct TensorInfo
+{
+    std::string blobName;
+    uint stride{0};
+    uint gridSize{0};
+    uint numClasses{0};
+    uint numBBoxes{0};
+    uint64_t volume{0};
+    std::vector<uint> masks;
+    std::vector<float> anchors;
+    int bindingIndex{-1};
+    float* hostBuffer{nullptr};
+};
+
+class Yolo : public IModelParser {
+public:
+    Yolo(const NetworkInfo& networkInfo);
+    ~Yolo() override;
+    bool hasFullDimsSupported() const override { return false; }
+    const char* getModelName() const override {
+        return m_ConfigFilePath.empty() ? m_NetworkType.c_str()
+                                        : m_ConfigFilePath.c_str();
+    }
+    NvDsInferStatus parseModel(nvinfer1::INetworkDefinition& network) override;
+
+    nvinfer1::ICudaEngine *createEngine (nvinfer1::IBuilder* builder);
+
+protected:
+    const std::string m_NetworkType;
+    const std::string m_ConfigFilePath;
+    const std::string m_WtsFilePath;
+    const std::string m_DeviceType;
+    const std::string m_InputBlobName;
+    std::vector<TensorInfo> m_OutputTensors;
+    std::vector<std::vector<int>> m_OutputMasks;
+    std::vector<std::map<std::string, std::string>> m_ConfigBlocks;
+    uint m_InputH;
+    uint m_InputW;
+    uint m_InputC;
+    uint64_t m_InputSize;
+
+    std::vector<nvinfer1::Weights> m_TrtWeights;
+
+private:
+    NvDsInferStatus buildYoloNetwork(
+        std::vector<float>& weights, nvinfer1::INetworkDefinition& network);
+    std::vector<std::map<std::string, std::string>> parseConfigFile(
+        const std::string cfgFilePath);
+    void parseConfigBlocks();
+    void destroyNetworkUtils();
+};
+
+#endif // _YOLO_H_